seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
13212916594 | import asyncio
import json
from datetime import datetime, timedelta
import discord
from discord.ext import commands
import libs.config as config
from libs.embedmaker import officialEmbed
from libs.utils import has_role
#####################
# Strings variables #
#####################
s_vote = config.get_string("vo... | rroethof/thm-discord-bot | cogs/vote.py | vote.py | py | 10,111 | python | en | code | null | github-code | 90 |
69929985256 | # init
import numpy as np
import matplotlib.pyplot as plt
file = open("HW_1_output.txt","w")
###### Prob 1
file.write("Prob 1 Results:"+"\n")
### (a) new matrix with new row
file.write("(a):"+"\n")
A = np.array([[1,2,3,1],[4,1,3,2],[4,4,3,1],[3,2,3,3]])
z = np.array([[1,1,3,1]])
B = np.vstack((A[0:2,:],z,A[2:5,:]))... | gigamosh57/CU_NuMeth_Fall2014 | HW_1.py | HW_1.py | py | 1,540 | python | en | code | 0 | github-code | 90 |
18202538499 | n = int(input())
a = list(map(int, input().split()))
m = 1
if 0 in a:
print(0)
else:
for i in range(n):
m = m * a[i]
if m > 10 ** 18:
print(-1)
break
elif i == n - 1:
print(m) | Aasthaengg/IBMdataset | Python_codes/p02658/s353224254.py | s353224254.py | py | 243 | python | en | code | 0 | github-code | 90 |
35289690038 | import tkinter as tk
from PIL import ImageTk,Image
global entry
global colour
import math
from math import ceil, floor
g = 9.8
Rdir = "FLAT"
#input window
root = tk.Tk()
canvas1 = tk.Canvas(root, width=800, height=550)
canvas1.pack()
labeltop = tk.Label(root, text='User Input')
labeltop.config(font... | asatapathy3254/object_on_ramp | ObjectOnRampWUserInterface.py | ObjectOnRampWUserInterface.py | py | 10,349 | python | en | code | 0 | github-code | 90 |
71232343336 | #! -*- coding:utf-8 -*-
import heapq
l1 = [34, 25, 12, 99, 87, 63, 58, 78, 88, 92]
l2 = [
{'name': 'IBM', 'shares': 100, 'price': 91.1},
{'name': 'AAPL', 'shares': 50, 'price': 543.22},
{'name': 'FB', 'shares': 200, 'price': 21.09},
{'name': 'HPQ', 'shares': 35, 'price': 31.75},
{'name': 'YHOO', '... | buptatx/myPython100Days | scripts/16_heapq.py | 16_heapq.py | py | 571 | python | en | code | 0 | github-code | 90 |
15329333205 | from autopilot import prefs
# if prefs.AGENT in ("TERMINAL", "DOCS"):
HAVE_PYSIDE = False
try:
from PySide2 import QtCore
HAVE_PYSIDE = True
except ImportError:
pass
import json
import pandas as pd
from scipy.stats import linregress
# from subprocess import call
from threading import Thread
import os
impor... | pauljerem/autopilot | autopilot/core/utils.py | utils.py | py | 6,843 | python | en | code | null | github-code | 90 |
34730775437 | #!/usr/bin/env python3
"""Defines `mat_mul`."""
def mat_mul(mat1, mat2):
"""Performs 2D-matrix multiplication."""
if len(mat1) == 0 or len(mat1[0]) != len(mat2):
return None
# transpose matrix 2
mat2 = list(zip(*mat2))
dot_products = list()
for mat1_row in mat1:
dot_products.ap... | keysmusician/holbertonschool-machine_learning | math/0x00-linear_algebra/8-ridin_bareback.py | 8-ridin_bareback.py | py | 574 | python | en | code | 1 | github-code | 90 |
33895874605 | from functools import wraps
import time
def cache(timeout=3600):
def deco(func):
memo = {}
times = {}
@wraps(func)
def _wrapper(*args):
res = memo.get(args, None)
if res is not None and (timeout < 0 or (time.time() - times[args] < timeout)):
... | KAILINYmq/python-flask-gotel | agile/commons/simple_cache.py | simple_cache.py | py | 524 | python | en | code | 1 | github-code | 90 |
38844783276 | # coding:utf-8
import json
import pytest
from datetime import datetime
from apis.device_management.device_account.apis_device_account import Apis
@pytest.mark.bvt
@pytest.mark.device
@pytest.mark.flaky(reruns=3, reruns_delay=3)
def test_get_measurement_group():
"""
获取默认采集定义信息
"""
try:
params =... | zj1995-09-09/supercare_api | testcase/device_management/device_account/test_measure_get_measurement_group.py | test_measure_get_measurement_group.py | py | 873 | python | en | code | 0 | github-code | 90 |
23475304188 | from django import forms
from django.http import HttpResponseRedirect
from django.test import RequestFactory, TestCase
from data_research.handlers import ConferenceRegistrationHandler
class MockConferenceRegistrationForm(forms.Form):
def __init__(self, *args, **kwargs):
kwargs.pop('capacity')
kwa... | KonstantinNovizky/Financial-System | python/consumerfinance.gov/cfgov/data_research/tests/test_handlers.py | test_handlers.py | py | 3,817 | python | en | code | 1 | github-code | 90 |
20442746291 | import re
def loadDataFromFile(fname):
res = []
with open(fname, 'r') as fp:
for line in fp:
lineStep = re.sub('bags contain|bag\,|bags\,', ':', line.strip())
lineClean = re.sub('bag\.|bags\.', '', lineStep)
lineSplit = lineClean.strip().split(':')
containerColor = lineSplit[0].strip()
... | tmarketin/AdventOfCode | 2020/Day7/sol_day7.py | sol_day7.py | py | 1,782 | python | en | code | 0 | github-code | 90 |
18122201649 | class Dice(object):
"""Dice Class
"""
def __init__(self, numbers):
"""
Args:
numbers:
"""
self.numbers_inverse = {numbers[0]: 1, numbers[1]: 2, numbers[2]: 3, numbers[3]: 4, numbers[4]: 5,
numbers[5]: 6}
self.numbers = {1... | Aasthaengg/IBMdataset | Python_codes/p02384/s814678894.py | s814678894.py | py | 3,383 | python | en | code | 0 | github-code | 90 |
34855857663 | #Write a program that accepts a sequence of whitespace separated words as input and
#prints the words after removing all duplicate words and sorting them alphanumerically.
#Suppose the following input is supplied to the program:
#hello world and practice makes perfect and hello world again
#Then, the output should be:
... | mukulverma2408/PracticeGeeksforGeeks | PythonPracticeQuestion-Part2/Git-Ques10.py | Git-Ques10.py | py | 545 | python | en | code | 0 | github-code | 90 |
39271215519 | # ---------------------------------------------------------------------------- #
# Imports #
# ---------------------------------------------------------------------------- #
# Server Stuff
from flask import Flask, render_template, request, send_file
... | PaddeCraft/TouchPanel | touchpanel/__main__.py | __main__.py | py | 12,584 | python | en | code | 0 | github-code | 90 |
24384812017 | #!/usr/bin/env python
from __future__ import print_function
import sys
import os.path
import argparse
import re
from subprocess import call
"""
Script for preparing and running deTIN
"""
epi = ('\
\n\
Make the preparation for CANVAS, test tumour and normal sample\n\
\n\
\n\
')
# Describe what the s... | MagdalenaZZ/Python_ditties | run_CANVAS.py | run_CANVAS.py | py | 4,533 | python | en | code | 0 | github-code | 90 |
5793347765 | #!/usr/bin/env python3
from urllib.parse import quote
from urllib.request import Request, urlopen, HTTPError
import json, csv
from settings import *
import ast
import argparse
parser = argparse.ArgumentParser(description='debut / fin / nombres de datasets')
parser.add_argument('-s', '--start', type=int, default=0, hel... | Open-Initiative/epidemium-import | import_datasets.py | import_datasets.py | py | 4,915 | python | en | code | 0 | github-code | 90 |
29939992881 | import urllib2
import requests
import json
import socket
import ssl
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
def downloadFile(url, magicNumber = None, maxSize = 10 * 1024 * 1024):
try:
f = urllib2.urlopen(url, timeout=10, context=ctx)
if magicNumber is None:
... | JaanusKaapPublic/Rehepapp | Scripts/Libs/Web.py | Web.py | py | 1,249 | python | en | code | 54 | github-code | 90 |
28365412298 | class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def reverse(self, node):
if node==None or node.next==None:
return node
last_node=self.reverse(node.next)
node.next.next=node
node.next=None
r... | neverset123/coding_leetcode | python/leetcode/linked_list/revert_linked_list.py | revert_linked_list.py | py | 1,659 | python | en | code | 0 | github-code | 90 |
20927858043 | from jinja2 import Environment, FileSystemLoader
import markdown2
from collections import namedtuple
from glob import glob
from pathlib import Path
Info = namedtuple(
"Info", ["name", "profession", "email", "linkedin", "github", "orcid"]
)
Site = namedtuple("Site", ["title", "url", "content"])
def replace_umlau... | hannahmccall/hannahmccall.github.io | generate.py | generate.py | py | 1,925 | python | en | code | 0 | github-code | 90 |
10385078305 | from pprint import pprint
from urllib.parse import urlencode
import requests
import time
import json
import os
import vk_params
VERSION = '5.67'
API_GET_GROUP = 'https://api.vk.com/method/groups.get'
API_GET_FRIENDS = 'https://api.vk.com/method/friends.get'
AUTHORIZE_URL = 'https://oauth.vk.com/authorize'
ERROR_REQUES... | VinGeorge/etcetera | vk_parsing.py | vk_parsing.py | py | 3,968 | python | en | code | 0 | github-code | 90 |
27566256342 | import numpy as np
class DisjointSet:
def __init__(self, elements):
self.elements = elements
self.cant = dict()
self.parents = dict()
for element in elements:
self.parents[element] = element
self.cant[element] = 1
def getParent(self, element):
... | juandamdc/MFA_WTMM | utils/disjointSet.py | disjointSet.py | py | 907 | python | en | code | 1 | github-code | 90 |
28748239571 | fin=open("mixmilk.in","r")
fout=open("mixmilk.out","w")
arr=[]
for i in range(3):
s=fin.readline().strip().split()
for i in range(len(s)):
s[i]=int(s[i])
arr.append(s)
curr=0
for i in range(100):
if curr==2:
next=0
else:
next=curr+1
if arr[curr][1]<=arr[next... | SriramV739/CP | USACO/Contest/Bronze/2018December/mixmilk.py | mixmilk.py | py | 574 | python | en | code | 0 | github-code | 90 |
20404098904 | import time
from clients.AbstractClient import AbstractClient
import config
import sqlite3
class SqliteClient(AbstractClient):
initialization_query = None
def __init__(self):
self.db = sqlite3.connect('sqlitedb', timeout=100)
self.cursor = self.db.cursor()
self.cursor.execute('PRAGMA ... | robertclaus/python-database-concurrency-control | clients/SqliteClient.py | SqliteClient.py | py | 1,192 | python | en | code | 0 | github-code | 90 |
29197722426 | # -*- coding: utf-8 -*-
"""
USE: python bif_exel2brical.py infile outfile
"""
import sys
import math
import json
import openpyxl
def createModules(ws):
modules = {}
for p in range(2):
for i in range(ws.max_row - 1):
val = ws.cell(row=i + 2, column=1).value
if val is not Non... | wbap/BriCAL | bif_excel2brical/bif_excel2brical.py | bif_excel2brical.py | py | 6,115 | python | en | code | 5 | github-code | 90 |
14992421542 | import itertools
import pandas as pd
from statsmodels.tsa.stattools import acf
# x = real component, right +ve
# y = imag component, up +ve
WIDTH = 7
_ROCKS = [
[complex(0, 0), complex(1, 0), complex(2, 0), complex(3, 0)],
[complex(1, 0), complex(0, 1), complex(1, 1), complex(2, 1), complex(1, 2)],
[comp... | jimhendy/AoC | 2022/17/b.py | b.py | py | 3,105 | python | en | code | 0 | github-code | 90 |
29542827837 | # -*- coding: utf-8 -*-
# @Time : 2021/9/12 10:35
# @Author : 模拟卷
# @Github : https://github.com/monijuan
# @CSDN : https://blog.csdn.net/qq_34451909
# @File : 152. 乘积最大子数组.py
# @Software: PyCharm
# ===================================
"""给你一个整数数组 nums ，请你找出数组中乘积最大的连续子数组（该子数组中至少包含一个数字），并返回该子数组所对应的乘积。
示例 ... | monijuan/leetcode_python | code/AC2_normal/152. 乘积最大子数组.py | 152. 乘积最大子数组.py | py | 1,980 | python | zh | code | 0 | github-code | 90 |
16077029621 | import os
import joblib
import pandas as pd
import statsmodels.api as sm
class Modeler:
def __init__(self):
self.df = pd.read_csv('C:/Users/abdul/Desktop/FYP/FinalDataset.csv')
try: self.model = joblib.load('models/satisfaction.model')
except: self.model = None
def fit(self):
... | Adeeb-Khoja/Pre-Launch-Forecaster---Data-Science-Project | Models Development/NLP - Sentiment Analysis - Satisfaction Model/deployment/modeler/Modeler.py | Modeler.py | py | 952 | python | en | code | 0 | github-code | 90 |
882682977 | import heapq
file = open("Median.txt", "r")
r_data = file.readlines()
data = [int(x) for x in r_data]
print(data)
medians = []
k = 0
l_heap = []
u_heap = []
while k < len(data):
new = data[k]
l_max = 0
u_min = 0
if len(l_heap) > 0:
l_max = l_heap[0][1]
if len(u_heap) > 0:
u_mi... | plancker/Algorithms | Course 2/median_maintenance.py | median_maintenance.py | py | 1,124 | python | en | code | 0 | github-code | 90 |
41608107292 | chaa,choo=map(int,input().split())
saaa=[]
for p in range(chaa+1,choo+1):
if p>1:
for f in range(2,p):
if(p%f==0):
break
else:
saa.append(f)
print(len(saa)+1)
| chokkuu1998/david | 5.py | 5.py | py | 189 | python | en | code | 0 | github-code | 90 |
18559041509 | def check():
N,K = map(int, input().split())
total = 0
if K == 0: return N**2
for b in range(1,N+1):
if b <= K:
continue
amari = N-b*(N//b)
test = amari-K+1 if amari >= K else 0
total += (b - K) * (N//b) + test
return ... | Aasthaengg/IBMdataset | Python_codes/p03418/s179499244.py | s179499244.py | py | 340 | python | en | code | 0 | github-code | 90 |
11175739171 | from django.shortcuts import render
from django.http import HttpResponse
from django.http.response import HttpResponseRedirect
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import authenticate,login,logout
#for apis
from .serial... | yogendrasapkar/kingzo | firstApp/views.py | views.py | py | 7,157 | python | en | code | 0 | github-code | 90 |
7572287877 | from langchain.prompts.prompt import PromptTemplate
_template = """给定以下对话和后续问题，请将后续问题重新表述为一个独立的问题，使用中文回答.
对话历史:
{chat_history}
接下来的输入: {question}
独立问题:"""
CONDENSE_QUESTION_PROMPT_ZH = PromptTemplate.from_template(_template)
prompt_template = """使用下面的上下文来回答最后的问题。如果你不知道答案，只需要说你不知道，不要试图编造一个答案.
{context}
问题: {questio... | toby911/learngit | chains/condense_quest_prompt.py | condense_quest_prompt.py | py | 645 | python | zh | code | 0 | github-code | 90 |
4128436901 | import os
import sys
import logging
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from collections import defaultdict
from datetime import datetime, timedelta
import pandas as pd
from pyhdf.HDF import HDF, HDF4Error
from pyhdf import VS
def key_from_fname(fname):
"""
Return the ACE data... | butala/pyrsss | pyrsss/l1/hdf4to5.py | hdf4to5.py | py | 3,445 | python | en | code | 6 | github-code | 90 |
73844656936 | import numpy as np
import computeCostMulti as costMultiModule
def gradientDescentMulti(X, y, theta, alpha, num_iters):
"""Performs gradient descent to learn theta
theta = GRADIENTDESCENT(X, y, theta, alpha, num_iters) updates theta by
taking num_iters gradient steps with learning rate alpha """
m... | hzitoun/machine_learning_from_scratch_matlab_python | algorithms_in_python/week_2/ex1/gradientDescentMulti.py | gradientDescentMulti.py | py | 861 | python | en | code | 30 | github-code | 90 |
28773248495 | def matches(a,b):
c=len(a)
d=len(b)
e=0
for i in range(max(c,d)):
if(i<c):
if(i<d):
if(a[i]==b[i]):
e+=1
return e
a=input("Enter 1st string :")
b=input("Enter 2nd string :")
print("Matches :",matches(a,b))
| 07python/python-programs | similar letters.py | similar letters.py | py | 295 | python | en | code | 0 | github-code | 90 |
28488218869 | import django
import os
import random
import decimal
import uuid
from datetime import datetime, timedelta
from django_seed import Seed
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "api.settings")
django.setup()
from api.transactions.models import Product, Transaction
cities = (
'Makati City',
'Pasig City... | rrviloria/pizza-transaction | seed.py | seed.py | py | 1,055 | python | en | code | 0 | github-code | 90 |
18130451720 | class Solution:
def dp_solution(self,nums):
n=len(nums)
dp=[0]*n
#dp[i] means minimum number of jump to reach ith index
for i in range(1,n):
ans=1e4+1
for j in range(i):
if j+nums[j]>=i:
ans=min(ans,dp[j]+1)
dp[i... | narendrasingodia1998/LeetCode | 0045-jump-game-ii/0045-jump-game-ii.py | 0045-jump-game-ii.py | py | 657 | python | en | code | 0 | github-code | 90 |
18469978299 | # https://atcoder.jp/contests/caddi2018/tasks/caddi2018_b
n = int(input())
odd = even = 0
for _ in range(n):
apple = int(input())
if apple % 2 == 0:
even += 1
else:
odd += 1
if odd:
print('first')
else:
print('second') | Aasthaengg/IBMdataset | Python_codes/p03197/s811334150.py | s811334150.py | py | 256 | python | en | code | 0 | github-code | 90 |
42263671057 | import os
import numpy as np
from datetime import datetime, timedelta
from netCDF4 import Dataset
from osgeo import gdal, osr
from gdalconst import *
from utils.s3_updnload import downloadBatch_s3
from utils.utils import mkfolder
import time as t
import glob
# =====Below adopted from remap.py
# Define KM_PER_DEGREE
KM... | nasa/GHRC-FieldCampaign-eXplorer-core | mk_gdaltif.py | mk_gdaltif.py | py | 6,893 | python | en | code | 1 | github-code | 90 |
33557712089 | # just copying over most of "carml checkpypi" because it's a good
# example of "I want a stream over *this* circuit".
from __future__ import print_function
from twisted.internet.defer import inlineCallbacks
from twisted.internet.task import react
from twisted.internet.endpoints import TCP4ClientEndpoint
import txtor... | meejah/txtorcon | examples/web_client_treq.py | web_client_treq.py | py | 1,085 | python | en | code | 245 | github-code | 90 |
8471033018 | from itertools import product
from restaurant_db import restaurants_given_state
NUM_ALTERNATIVES = 5
PRICE_ALTERNATIVES = [{"cheap", "moderate"},
{"moderate", "expensive"}]
LOCATION_ALTERNATIVES = [{"centre", "north", "west"},
{"centre", "north", "east"},
... | jokke150/Restaurant-Recommendation-System | alternative_rules.py | alternative_rules.py | py | 4,968 | python | en | code | 1 | github-code | 90 |
24083365304 | import pandas as pd
import text_analytic_tools.common.text_corpus as text_corpus
DATA_FOLDER = '../../data'
CORPUS_NAME_PATTERN = '*.txt.zip'
CORPUS_TEXT_FILES_PATTERN = '*.txt'
DOCUMENT_FILTERS = [
{
'type': 'multiselect',
'description': 'Pope',
'field': 'pope'
},
... | humlab/text_analytic_tools | text_analytic_tools/domain/Vatican/domain_logic.py | domain_logic.py | py | 3,090 | python | en | code | 1 | github-code | 90 |
70279937897 | from flask_wtf import FlaskForm
from wtforms import IntegerField,SelectField,SubmitField
from wtforms.validators import DataRequired,NumberRange
states=[('kerala','Kerala'),('bihar','Bihar'),('tamil_nadu','Tamil nadu'),('assam_and_meghalaya','Assam & Meghalaya'),
('nagaland_manipur_mizoram_tripura','Nagalan... | aryapande/rainfallML | forms.py | forms.py | py | 1,460 | python | en | code | 0 | github-code | 90 |
18558979639 | n, k = map(int, input().split())
ans = 0
for i in range(k + 1, n + 1):
ans += (n // i) * (i - k)
if k == 0:
m = n % i
else:
m = n % i - k + 1
ans = max(ans, ans + m)
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03418/s102268010.py | s102268010.py | py | 210 | python | fr | code | 0 | github-code | 90 |
43869991178 | import xml.etree.ElementTree as ET
import matplotlib.pyplot as plt
import numpy as np
from sklearn.metrics import r2_score
tree = ET.parse('HY202103_D08_(0,2)_LION1_DCM_LMZC.xml')
root = tree.getroot()
def snf(a):
splt = a.text.split(',')
flst = list(map(float,splt))
return flst
wvlen = []
itst = []
for... | ChiYoSeop/Gitprac | PE02_TW03/PE02_TW03_REF_Raw & fit.py | PE02_TW03_REF_Raw & fit.py | py | 933 | python | en | code | 0 | github-code | 90 |
39377083240 | def create_environment():
global length,breadth,x_axis,y_axis
print("Enter data for environment: ")
length = int(input("Enter length: "))
breadth = int(input("Enter breadth: "))
print("Co-ordinate of rectangular area (4 - corners) is:")
print("[0,0] {} {} {} in clockwise direction".format
... | suraj7337/Robot-Assembling | Environment.py | Environment.py | py | 874 | python | en | code | 0 | github-code | 90 |
22770196073 | class Solution:
def ladderLength2(self, beginWords, endWord, wordList):
"""
:type beginWord: str
:type endWord: str
:type wordList: List[str]
:rtype: int
"""
if not wordList or endWord not in wordList:
return 0
next_beginWords = []
... | amisyy/leetcode | ladderLength.py | ladderLength.py | py | 1,596 | python | en | code | 0 | github-code | 90 |
7145796448 | from rest_framework import serializers
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer as BaseTokenObtainSerializer
from rest_framework_simplejwt.settings import api_settings
from rest_framework_simplejwt.tokens import RefreshToken
from Apps.Authentication.models.login import DeviceLogin
c... | khan-asfi-reza/RaydBlog | backend/Apps/Authentication/serializers/jwt.py | jwt.py | py | 1,688 | python | en | code | 0 | github-code | 90 |
12926100654 | import requests
import numpy as np
import matplotlib.pyplot as plt
import datetime
import os
def get_github_snk_data(username):
url = f"https://api.github.com/users/{username}/events"
response = requests.get(url)
if response.status_code == 200:
events = response.json()
contributions = [0] ... | WangYingJay/WangYingJay | service/request_create_snake_api.py | request_create_snake_api.py | py | 1,989 | python | en | code | 0 | github-code | 90 |
27011018664 | from camera_algorithms.camera1_model import PeopleDetector
#Loading model
net = PeopleDetector()
net.load_network()
# Get the video writer initialized to save the output video
def queue (img) :
# get frame from the video
frame=img
#Get te predictions from the model
outs = net.predict(frame)
#Use m... | omaralam96/COVID-19-Prevention-CVC-Competition | camera_algorithms/camera1.py | camera1.py | py | 517 | python | en | code | 2 | github-code | 90 |
18592905919 | n=int(input())
f=[]
P=[]
for i in range(n):
a=list(map(int,input().split()))
f.append(a)
for i in range(n):
a=list(map(int, input().split()))
P.append(a)
from itertools import product
ans=-(10**10)
for p in product([0, 1], repeat = 10):
if sum(p)!=0:
ret = 0
for i in range(n):
... | Aasthaengg/IBMdataset | Python_codes/p03503/s091731182.py | s091731182.py | py | 512 | python | en | code | 0 | github-code | 90 |
19976050115 | from collections import deque
from math import floor, ceil
class Pair:
def __init__(self, a, b):
self.a = a
self.b = b
def copy(self):
result = Pair(self.a, self.b)
if type(self.a) is Pair:
result.a = self.a.copy()
if type(self.b) is Pair:
result.... | bitwitch/advent-of-code | aoc2021/18-snailfish/snailfish.py | snailfish.py | py | 6,139 | python | en | code | 1 | github-code | 90 |
30071786820 | import random
from datetime import timedelta, datetime
from copy import deepcopy
import pytest
from faker import Faker
from django.utils import timezone
from auditor.bolean_auditor.process_protocol import TodayExternalIP, PortRank, \
ProtocolIPRank, IPSource, Processor, IPQueueProcess, PreProcess, Attack... | liushiwen555/unified_management_platform_backend | auditor/tests/test_protocol_synchronize.py | test_protocol_synchronize.py | py | 18,117 | python | en | code | 0 | github-code | 90 |
21639260894 | from django.shortcuts import render, HttpResponseRedirect, reverse
# Create your views here.
from App_post.models import PartnerRequestModel, JobPostModel, PartnerApplicationModel
def home(request):
return render(request, 'App_post/home.html')
def partner_request(request):
if request.method == '... | evana27perveen/WePoka | App_post/views.py | views.py | py | 3,366 | python | en | code | 0 | github-code | 90 |
42291859717 | import numpy as np
import crocoddyl
class CostModelDoublePendulum(crocoddyl.CostModelAbstract):
def __init__(self, state, activation, nu):
activation = (
activation
if activation is not None
else crocoddyl.ActivationModelQuad(state.ndx)
)
crocoddyl.Cost... | loco-3d/crocoddyl | bindings/python/crocoddyl/utils/pendulum.py | pendulum.py | py | 2,778 | python | en | code | 584 | github-code | 90 |
72483618858 | import wave
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
import random
wf = wave.open('../input/flute.wav')
ch = wf.getnchannels()
fn = wf.getnframes()
amp = (2**8) ** wf.getsampwidth() / 2
data = wf.readframes(fn)
data = np.frombuffer(data, 'int16')
data = data /... | ymt117/Mute_speaker | src/flute_freq_spectrum2.py | flute_freq_spectrum2.py | py | 934 | python | en | code | 0 | github-code | 90 |
1859653235 | # Converts a hexadecimal number (input) to binary number
hex_num = input('Enter a hexadecimal number to convert to binary: ') # Unnecesary conversion, just for assuring '.' is included in the string
print(hex_num, 'in decimal is', end=' ')
is_neg = None
resul = ''
if hex_num[0] == '-':
is_neg = True
hex_num ... | rubengr16/OSSU | ComputerScience/2_MIT6.00.1x_Introduction_to_Computer_Science/3_Simple_Algorithms/hexadecimal_to_binary_float.py | hexadecimal_to_binary_float.py | py | 1,182 | python | en | code | 0 | github-code | 90 |
4039836372 | import threading
import numpy as np
import dotsandboxes.gui.global_var
from Arena import Arena
#from dotsandboxes.gui.main import GUI
import time
from dotsandboxes.gui import global_var
class RandomPlayer:
def __init__(self, game):
self.game = game
def play(self, board):
a =... | cuijiayu20/alphazero_dotsandboxes | alpha-zero-general 1.2_now/dotsandboxes/DotsAndBoxesPlayers.py | DotsAndBoxesPlayers.py | py | 3,118 | python | en | code | 0 | github-code | 90 |
29108212606 |
import socket
import time
import os
import datetime
from threading import Thread
#from scapy.all import ARP, Ether, srp
#-----------------------------------------------------------------------------#
# Locating Nodes Part #
#-------------------------------------------------------... | CristofearSantillan/Peer-to-Peer-Network | main.py | main.py | py | 12,489 | python | en | code | 0 | github-code | 90 |
70943698857 | import scrapy
from fed_scraper.items import FedScraperItem, serialize_url
from fed_scraper.parse_pdf import parse_pdf_from_url
import re
MEETING_DATES_FILE_PATH = "../meeting_dates.csv"
class BeigeBookArchiveSpider(scrapy.Spider):
name = "beige_book_archive"
allowed_domains = ["www.federalreserve.gov"]
s... | rw19842/Fed-Scraper | fed_scraper/fed_scraper/spiders/beige_book_archive.py | beige_book_archive.py | py | 2,849 | python | en | code | 1 | github-code | 90 |
12350292707 | from typing import List
class Solution:
def orangesRotting(self, grid: List[List[int]]) -> int:
minute = 0
length = len(grid)
width = len(grid[0])
# count = 0
return minute
a = Solution()
b = [[2,1,1],[1,1,0],[0,1,1]]
b = [[2,1,1],[0,1,1],[1,0,1]]
b = [[0,2]]
p... | Panamera-Turbo/MyPython | leetcode/994-orange.py | 994-orange.py | py | 345 | python | en | code | 0 | github-code | 90 |
9594035472 | import os
from patient import Patient
import datetime
import matplotlib.pyplot as plt
import discord
from dotenv import load_dotenv
import asyncio
from discord.ext import commands, tasks
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
GUILD = os.getenv('DISCORD_GUILD')
bot = commands.Bot(command_pre... | benjshao/MediBot | bot.py | bot.py | py | 4,011 | python | en | code | 0 | github-code | 90 |
2401327859 |
from camera import Camera
import open3d as o3d
import cv2
import os
if __name__ == "__main__":
cam = Camera([])
pcd = o3d.geometry.PointCloud()
vis = o3d.visualization.Visualizer()
vis.create_window("Point Clouds", width=848, height=480)
added = True
rgb_img, depth_img = cam.stream(colored_de... | juyong0000/pose_estimation | utilities/HowToCapturePcd/capture_pcd/save_pcd.py | save_pcd.py | py | 1,143 | python | en | code | 0 | github-code | 90 |
33990635386 | TC=int(input())
for i in range(TC):
N = int(input())
ind = [list(map(int, input().split())) for _ in range(N)]
res = 0
for j in range(N - 1):
for k in range(j + 1, N):
l1, r1 = ind[j]
l2, r2 = ind[k]
if ((l1 > l2 and r1 < r2) or (l1 < l2 and r1 > r2)):
... | eunjakim98/Algorithm_Python | SWEA/D3/10580. 전봇대/전봇대.py | 전봇대.py | py | 364 | python | en | code | 0 | github-code | 90 |
27705974855 | import os
import dgl
import torch
import random
import numpy as np
import pandas as pd
import scipy.sparse as sp
from scipy.spatial import distance_matrix
from sklearn.metrics import roc_auc_score, f1_score, accuracy_score
import torch.nn.functional as F
from torch.nn.modules.loss import _Loss
import torch.optim as opt... | ZzoomD/FairGKD | utils.py | utils.py | py | 13,623 | python | en | code | 0 | github-code | 90 |
34980334805 | #!/usr/bin/env python
import sys
from functools import reduce
from collections import Counter
from collections import defaultdict
def reducer():
"""Input: stdin or hastag and number of times it occurs.
Output: hastag followed by number of times hastag occurs ranked
by frequency."""
top_hashtags = de... | dannypaz/class | dsci-6007/4.3 - MapReduce Intro/lab-4.3-top-ten-hashtags-Jonathan-Jaime.py | lab-4.3-top-ten-hashtags-Jonathan-Jaime.py | py | 912 | python | en | code | 3 | github-code | 90 |
5737702494 | class User:
bank_name = "International Bank"
def __init__(self, name):
self.name = name
self.account_balance = 0
#deposit method
def make_deposit(self, deposited_amount):
self.account_balance += deposited_amount
#withdrwal method
def make_withdrawal(self, withdrew_amount)... | AmanielyMkamba/python_algo | user_assignment.py | user_assignment.py | py | 1,337 | python | en | code | 0 | github-code | 90 |
69966761898 | import tensorflow as tf
import numpy as np
from pathlib import Path
import collections
from tensorflow.contrib import rnn
import pickle
import os
import datetime
import unicodedata
from tensorflow.python.client import device_lib
import matplotlib.pyplot as plt
import re
# from sklearn.utils import shuffle as shuffle
im... | imosafi/LSTM | Code/main.py | main.py | py | 5,116 | python | en | code | 0 | github-code | 90 |
42853975565 | import sys, string, math
m = input()
if m == m[::-1] :
print('yes')
sys.exit()
n = 0
for i in m[::-1] :
if i == '0' :
n += 1
else :
break
s1 = '0'*n + m
if s1 == s1[::-1] :
print('yes')
else :
print('no')
| Shamabanu/python | quasi palindromic.py | quasi palindromic.py | py | 248 | python | en | code | 2 | github-code | 90 |
4964954192 | def create_table(connection, tbl_name, col_name, col_type, row_list) :
import math
import dismod_at
import copy
primary_key = tbl_name + '_id'
name_column = tbl_name + '_name'
#
cmd = 'create table ' + tbl_name + '('
n_col = len( col_name )
cmd += '\n\t' + tbl_name + '_id integ... | bradbell/dismod_at | python/dismod_at/create_table.py | create_table.py | py | 1,304 | python | en | code | 6 | github-code | 90 |
72677807657 | import unittest
import numpy as np
import torch
from pero_ocr.decoding.decoders import BLANK_SYMBOL
from pero_ocr.decoding.decoders import find_new_prefixes
from pero_ocr.decoding.decoders import GreedyDecoder
from pero_ocr.decoding.decoders import CTCPrefixLogRawNumpyDecoder
from pero_ocr.decoding.decoders import g... | DCGM/pero-ocr | test/test_decoding/test_decoders.py | test_decoders.py | py | 17,774 | python | en | code | 38 | github-code | 90 |
25251422569 |
class Solution:
# @param tokens, a list of string
# @return an integer
def ceil(self, x):
if x == int(x):
return int(x)
else: return int(x)+1
def isOperSym(self, token):
if token == "+" or token == "-" or token == "*" or token == "/":
return True
... | sevenseablue/leetcode | src/leet/Evaluate Reverse Polish Notation.py | Evaluate Reverse Polish Notation.py | py | 1,587 | python | en | code | 0 | github-code | 90 |
35390242387 | import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPool2D
from keras.preprocessing.image import ImageDataGenerator
from keract import get_activations, display_activations
datagen = ImageDataGenerator()
train_data = ... | ildar-dev/python-ad | convolutional-n-n/model.py | model.py | py | 1,264 | python | en | code | 0 | github-code | 90 |
1230187940 | """
该模块:`visul`包含数据可视化的类和函数。
"""
# Author: Sandiagal <sandiagal2525@gmail.com>,
# License: GPL-3.0
import math
from pickle import load
import os
import cv2
from keras import backend as K
from keras.models import Model
import matplotlib.pyplot as plt
import numpy as np
import PIL.Image as Image
from idiplab_cv.datas... | IDIPLAB/IDIPLAB_CV | idiplab_cv/visul.py | visul.py | py | 18,245 | python | en | code | 4 | github-code | 90 |
42642533497 | from __future__ import division
from ignite.metrics.metric import Metric
import numpy as np
import heapq
import torch
def recognition_rate_at_k(probe_x, probe_y, gallery_x, gallery_y, k, measure):
"""Compute the recognition rate at a given level `k`"""
# (75,75)
label_eq_mat = np.equal(probe_y.reshape(-1... | houweidong/models | training/cmc_metric.py | cmc_metric.py | py | 3,259 | python | en | code | 0 | github-code | 90 |
8868225052 | from Commons import gtk
from Commons import os
from Commons import _
from AF import AudioFile
class TagsEditor(gtk.Dialog):
def __init__(self, cfname, treeModel, path, columns, colToKey):
gtk.Dialog.__init__(self)
i = cfname.rfind('/')
self.set_title(_('Edit Tags'))
fil... | andrebask/cometsound | src/TagsEditorDialog.py | TagsEditorDialog.py | py | 2,598 | python | en | code | 0 | github-code | 90 |
18523439359 | import sys
N, M = map(int, input().split())
pm = [(i,j,k) for i in range(-1,2,2) for j in range(-1,2,2) for k in range(-1,2,2)]
lst = []
for _ in range(N):
x,y,z = map(int, input().split())
lst.append((x,y,z))
rlt = -sys.maxsize
for a,b,c in pm:
tmp = []
for x,y,z in lst:
tmp.append(a*x+b*y+c*z)
tmp.s... | Aasthaengg/IBMdataset | Python_codes/p03326/s020824031.py | s020824031.py | py | 382 | python | en | code | 0 | github-code | 90 |
30616608738 | """Extension of optical_gater_server for emulating gating with saved brightfield data"""
# Python imports
import sys, os, time, argparse, glob, warnings, platform
import numpy as np
import json
import urllib.request
# Module imports
from loguru import logger
from tqdm.auto import tqdm
# See comment in pypr... | Glasgow-ICG/open-optical-gating | open_optical_gating/cli/file_optical_gater.py | file_optical_gater.py | py | 16,916 | python | en | code | 3 | github-code | 90 |
43146249364 | import pytest
import uuid
from typing import List
from domains.entities.notes_entity import (
NoteEntity,
KeywordEntity
)
from tests.fixtures.notes import (
note_entity_fixture,
note_summary_entity_fixture
)
from apps.notes.exceptions import (
NoteNameLengthLimitError
)
from domains.constants impor... | knock-version-1-0/backend-main | src/tests/notes/entity_tests.py | entity_tests.py | py | 2,769 | python | en | code | 0 | github-code | 90 |
40898867343 | import json
from typing import Dict, List, Any
from paramiko import SSHClient
from paramiko.client import AutoAddPolicy
hostname = "10.20.40.224"
port = 22
username = "vedant"
password = "Mind@123"
try:
client: SSHClient = SSHClient()
client.set_missing_host_key_policy(AutoAddPolicy())
client.con... | Pruthviraj1223/pythonPlugins | ssh/cpu.py | cpu.py | py | 1,437 | python | en | code | 0 | github-code | 90 |
23782550601 | # -*- coding: utf-8 -*-
from __future__ import print_function
from keras.models import Model
from keras.layers import Flatten, Dense, Input
from keras.layers import Convolution2D, MaxPooling2D
from keras import backend as K
import utils
K.set_image_dim_ordering('th')
import warnings
warnings.filterwarnings("ignore... | noagarcia/keras_rmac | vgg16.py | vgg16.py | py | 2,688 | python | en | code | 84 | github-code | 90 |
17927440269 | n,c=map(int,input().split())
p=[list(map(int,input().split())) for _ in range(n)]
p.sort()
res = [0 for _ in range(100005)]
res0 = [[0,0] for _ in range(c)]
np = []
for s,t,c in p:
if res0[c-1][0] == 0:
res0[c-1] = [s,t]
elif res0[c-1][1] ==s:
res0[c-1][1] =t
else:
np.append(res0[c-1... | Aasthaengg/IBMdataset | Python_codes/p03504/s583156389.py | s583156389.py | py | 548 | python | en | code | 0 | github-code | 90 |
32086045363 | """CLI interaction implementation."""
import cmd
import shlex
import Dungeon.logic.DungeonUtils as utils
class Dungeon(cmd.Cmd):
"""Class that implements game."""
prompt = '(Dungeon) '
dungeon_map = [[[] for i in range(10)] for i in range(10)]
player_pos = (0, 0)
def do_add(self, args):
... | sanyavertolet/pythonprac | 20220328/1/Dungeon/cli/DungeonCli.py | DungeonCli.py | py | 2,073 | python | en | code | 1 | github-code | 90 |
35014018837 | import json
from os import mkdir
from os.path import expanduser, isfile, isdir
from todo_list.task import Task
class TaskNotFound(Exception):
def __init__(self,mes:str="")->None:
super().__init__()
self.mes=mes
def __str__(self)->None:
return f"TaskNotFound: {self.mes}"
class List... | Jonas-Luetolf/Todo-List | todo_list/listhandler.py | listhandler.py | py | 2,272 | python | en | code | 1 | github-code | 90 |
18140681949 | while 1:
list = [input().split()]
m = int(list[0][0])
f = int(list[0][1])
r = int(list[0][2])
if m == -1 and f == -1 and r == -1 :
break
elif m == -1 or f == -1 :
print("F")
elif m + f >= 80 :
print("A")
elif 65 <= m + f and m + f < 80 :
print("B")
eli... | Aasthaengg/IBMdataset | Python_codes/p02411/s766298256.py | s766298256.py | py | 547 | python | en | code | 0 | github-code | 90 |
13005146302 | from typing import List, Union
import torch
import torch.nn.functional as F
from torch import nn
from ..modeling_utils import ModuleUtilsMixin
from .composition import AdapterCompositionBlock, BatchSplit, Parallel, Stack, adjust_tensors_for_parallel
from .configuration import PrefixTuningConfig
from .context import A... | adapter-hub/adapter-transformers | src/transformers/adapters/prefix_tuning.py | prefix_tuning.py | py | 30,155 | python | en | code | 1,700 | github-code | 90 |
27613156404 | import os
import readline
from ghost.core.badges import Badges
from ghost.core.server import Server
from ghost.core.helper import Helper
from ghost.core.ghost import Ghost
class Console:
def __init__(self):
self.badges = Badges()
self.server = Server()
self.helper = Helper()
self.... | Farhan-Malik/Ghost-adb | ghost/core/console.py | console.py | py | 3,698 | python | en | code | 0 | github-code | 90 |
12973337052 | ################################
# Timecomplexity: O(N)
# Spacecomplexity: O(1)
################################
def findComplement(num):
temp_array = num
# Bit for performing xor with each bit
one_bit = 1
# Loop for performing one's compliment
while temp_array :
# Performing XOR op... | harishdasari1595/Personal_projects | Algorithms and Datastructure/Arrays/one_s_complement.py | one_s_complement.py | py | 601 | python | en | code | 0 | github-code | 90 |
18594915272 | import fileinput
import json
import pprint
import re
import string
import gmplot
import gensim
from tweet_parser.tweet import Tweet
from tweet_parser.tweet_parser_errors import NotATweetError
from textblob import TextBlob
from collections import Counter
def open_tweets(filename):
tweets = []
for line in fil... | sruti/talktransit | main.py | main.py | py | 4,340 | python | en | code | 0 | github-code | 90 |
13892873274 | import random
# Q3 a
class Rectangle:
def __init__(self, width, height, color):
if not isinstance(width, (int, float)):
raise TypeError("Width must be number")
if not isinstance(height, (int, float)):
raise TypeError("Height must be number")
self.width = width
... | seanrattigan/SW_Arch_OOP | exam_code/oop_2021_exam_code.py | oop_2021_exam_code.py | py | 2,287 | python | en | code | 0 | github-code | 90 |
32408780806 | import os
import random
import cv2
badcase_path = r'E:\L2_eval\new_data\badcase\badcase.txt'
data_path = r'G:\test_data\new_data\crop_images'
save_path = r'E:\L2_eval\new_data\images'
record_txt_path = r'E:\L2_eval\new_data\images\1.txt'
badcase_list = list()
with open(badcase_path, 'r') as f:
line = f.readline()... | Daming-TF/HandData | scripts/Cleaning_Metric_Evaluation_Tool/test.py | test.py | py | 946 | python | en | code | 1 | github-code | 90 |
45814153703 | # -*- coding: utf-8 -*-
import cv2
import numpy as np
from pyzbar.pyzbar import decode
video = cv2.VideoCapture(0, cv2.CAP_DSHOW)
video.set(3, 640)
video.set(4, 480)
with open("pessoas_autorizadas.txt") as arquivo:
minha_lista = arquivo.read().splitlines() # separar por linhas
while True:
check, frame = vi... | veniciocosta/barcode_scaner | scan_autenticate.py | scan_autenticate.py | py | 1,157 | python | pt | code | 0 | github-code | 90 |
35170106156 | import numpy as np
import cv2 as cv
import tensorflow as tf
import os
import matplotlib.pyplot as plt
#convert image to tensor
XDIM = 2048
YDIM = 11*XDIM//8
LINE = 3*XDIM//8
#assumes the images in the folder look like Band1.jpg, Band2.jpg etc
def folder_to_array(folder):
images = []
for i in range(1,1... | colefranks/MarshBoundaries | PredictFromSaved.py | PredictFromSaved.py | py | 3,703 | python | en | code | 0 | github-code | 90 |
73034649898 | import unittest
# Utils libs
import os
import numpy as np
import pandas as pd
from words_n_fun.preprocessing import synonym_malefemale_replacement
# Disable logging
import logging
logging.disable(logging.CRITICAL)
class SynonymTests(unittest.TestCase):
'''Main class to test all functions in synonym_malefemale_r... | OSS-Pole-Emploi/words_n_fun | tests/test_5_synonym_malefemale_replacement.py | test_5_synonym_malefemale_replacement.py | py | 2,559 | python | en | code | 20 | github-code | 90 |
43017290689 | import importlib
import plone.testing.zope
from plone.testing.layer import Layer
from plone.testing.zca import ZCMLSandbox
from plone.testing.zope import WSGI_SERVER
from Testing.makerequest import makerequest
from zope.publisher.browser import TestRequest
ZCMLLayer = ZCMLSandbox(
None, 'Products.Formulator:ZCML... | infrae/Products.Formulator | src/Products/Formulator/testing.py | testing.py | py | 1,759 | python | en | code | 1 | github-code | 90 |
5044763802 | from collections import Counter
def main():
N = int(input())
A = list(map(int, input().split()))
c = Counter(A)
c = sorted(c.items(), reverse=True)
for i in range(N):
if len(c) > i:
print(c[i][1])
else:
print(0)
if __name__ == "__main__":
main()
| valusun/Compe_Programming | AtCoder/ABC/ABC273/C.py | C.py | py | 314 | python | en | code | 0 | github-code | 90 |
26807918441 | # -*- coding:utf-8 -*-
import sqlite3
def executeSelectOne(sql):
conn = sqlite3.connect('my_db.sqlite3')
curs = conn.cursor()
curs.execute(sql)
data = curs.fetchone()
conn.close()
return data
def executeSelectAll(sql):
conn = sqlite3.connect('my_db.sqlite3')
curs = conn.cursor()
... | UstymHanyk/python_hmwr | week 6/executeSqlite3.py | executeSqlite3.py | py | 669 | python | en | code | 0 | github-code | 90 |
16948290871 | from typing import List
class Solution:
def sortedSquares(self, nums: List[int]) -> List[int]:
n = len(nums)
res = [0] * n
left = 0
right = n - 1
for i in range(n-1, -1, -1):
if abs(nums[left]) > abs(nums[right]):
num = nums[left]
... | iamsuman/algorithms | iv/Leetcode/easy/977_squares_of_sorted_array.py | 977_squares_of_sorted_array.py | py | 841 | python | en | code | 2 | github-code | 90 |
1213076764 | # @Time : 2019/9/2 13:54
# @Author : Libuda
# @FileName: user_login.py
# @Software: PyCharm
from TestMain.utils import Utils
from TestMain.test_data_config import TestDataConfig
class Login:
"""
专门为登录测试服务 因为其并不是提交数据 而是将数据封装到请求头中
"""
def __init__(self, file_name=None):
self.utils = Utils... | budaLi/Unittest | MyAutoTest/templete/user_login.py | user_login.py | py | 1,100 | python | en | code | 4 | github-code | 90 |
25749801554 | import os
import json
import argparse
import numpy as np
import pandas as pd
from sklearn.metrics import r2_score
from fbprophet import Prophet
from fbprophet.serialize import model_to_json
from azureml.core import Workspace, Dataset
from azureml.core.run import Run
train_dataset_name = 'sales_train1'
test_dataset_... | elbertsoftware/ML-Engineering | script/train.py | train.py | py | 4,366 | python | en | code | 1 | github-code | 90 |
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